Logo do repositório

Method Based on Triangulation for Sensor Deployment on 3D Surfaces

dc.contributor.authorNespolo, Renan [UNESP]
dc.contributor.authorNeves, Leandro Alves [UNESP]
dc.contributor.authorRoberto, Guilherme [UNESP]
dc.contributor.authorRibeiro, Matheus [UNESP]
dc.contributor.authorNascimento, Marcelo Zanchetta do
dc.contributor.authorCansian, Adriano [UNESP]
dc.contributor.authorIEEE
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2018-11-26T17:39:41Z
dc.date.available2018-11-26T17:39:41Z
dc.date.issued2016-01-01
dc.description.abstractIn this work a new method is proposed to obtain the deployment of sensor nodes with a maximum coverage area using a minimum number of sensor nodes in three-dimensional surfaces. The deployment is performed using the dual Delaunay triangulation/Voronoi Diagram. The position selection process considered the vertices as candidate positions and the sensing radius. The positions were selected based on the maximum area coverage and the existence of communication among them. The communication was defined as omnidirectional. To ensure the coverage area, the problem of sensing superposition was considered. The verification of the communication is accomplished by the minimum spanning tree algorithm. To certify the versatility of the proposed method, we show the deployment in distinct surface areas commonly monitored by Wireless Sensor Networks. The results were significant, with coverage area between 84% and 95% for distinct types of reliefs.en
dc.description.affiliationSao Paulo State Univ UNESP, Dept Comp Sci & Stat DCCE, Sao Jose Do Rio Preto, Brazil
dc.description.affiliationUniv Fed Uberlandia, FACOM, Uberlandia, MG, Brazil
dc.description.affiliationUnespSao Paulo State Univ UNESP, Dept Comp Sci & Stat DCCE, Sao Jose Do Rio Preto, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdCNPq: 133023/2015-0
dc.format.extent136-143
dc.identifierhttp://dx.doi.org/10.1109/SIBGRAPI.2016.25
dc.identifier.citation2016 29th Sibgrapi Conference On Graphics, Patterns And Images (sibgrapi). New York: Ieee, p. 136-143, 2016.
dc.identifier.doi10.1109/SIBGRAPI.2016.25
dc.identifier.issn1530-1834
dc.identifier.lattes0095921943345974
dc.identifier.lattes2139053814879312
dc.identifier.orcid0000-0003-4494-1454
dc.identifier.urihttp://hdl.handle.net/11449/162999
dc.identifier.wosWOS:000405493800018
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2016 29th Sibgrapi Conference On Graphics, Patterns And Images (sibgrapi)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectWireless Sensor Network
dc.subjectSensor nodes
dc.subjectDeployment
dc.subjectSimulation
dc.titleMethod Based on Triangulation for Sensor Deployment on 3D Surfacesen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
dspace.entity.typePublication
unesp.author.lattes0095921943345974[6]
unesp.author.lattes2139053814879312
unesp.author.orcid0000-0001-8580-7054[2]
unesp.author.orcid0000-0003-4494-1454[6]
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências Letras e Ciências Exatas, São José do Rio Pretopt
unesp.departmentCiências da Computação e Estatística - IBILCEpt

Arquivos